RMIT/CSIRO Next-Gen PhD in Wheel-end failure detection in heavy vehicles using IOT and Machine learning

This PhD scholarship opportunity is part of the Data61/CSIRO Next Generation Artificial Intelligence program in collaboration with Delta-V Experts. The project focuses on investigating, designing, and implementing machine learning algorithms for anomaly and fault detection in vibrating mechanical systems in real-time. The research includes working in vibrations lab with hands-on experience with experimental measured data, as well as implementing AI algorithms using Python, C++, and MATLAB. The core of the project involves collecting and analyzing measurement data from vibrating mechanical systems (primarily rotating equipment) and designing machine learning algorithms to identify both known faults through classification methods and unknown faults through clustering methods. The ultimate goal is to implement the best-suited algorithms in a prototype automated system that can notify users of emerging failures and provide a framework for predictive maintenance. The data collected will be used to generate data-based scheduled maintenance procedures for operators. The successful candidate will receive a 6-month industry placement opportunity as part of the program.